Deloitte

Senior / Lead DevOps Engineer – Platform Engineering | Prague

Deloitte  •  Prague, CZ (Hybrid)  •  1 day ago
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Job Description


General Information


Position

Senior / Lead DevOps Engineer – Platform Engineering | Prague

Work arrangement

Full-time

City

Prague

Country

Czech Republic

Department

Consulting

Team

Engineering, AI & Data

Area of interest

AI - Artificial Intelligence, Consulting, Data & Analytics, Digital, Engineering

Way of work

Hybrid


Description & Requirements

Who we are looking for
Shape the Infrastructure Behind Enterprise AI 🚀

AI is no longer experimental — it is mission-critical. As global organizations deploy autonomous AI agents on sensitive data, they need secure, scalable, and compliant platforms that meet the same reliability standards as any enterprise production system.

This is where you come in.

🟢 We are looking for a Senior or Lead DevOps Engineer to design, build, and operate enterprise-grade Agentic AI platforms You will be a hands-on technical leader — owning architecture and delivery while mentoring engineers and partnering closely with client and internal teams. You will help some of the world’s most recognized organizations run secure AI environments at scale under strict regulatory and security requirements.

If you are excited about deep cloud-native engineering with real consulting impact, this role offers exactly that.

💼 Your Profile

We are looking for a technically strong engineer who is comfortable operating in complex environments.

Core Experience
  • 4–8+ years in DevOps, Site Reliability Engineering (SRE), Cloud Engineering, or Platform Engineering
  • Proven experience delivering complex projects in Azure (preferred), AWS, or GCP
  • Strong hands-on expertise in Kubernetes (AKS/EKS/GKE), Helm, Kustomize, and container orchestration at scale
  • Deep experience with CI/CD automation and pipeline design (GitHub Actions, Azure DevOps, GitLab CI, or Jenkins)
  • Infrastructure as Code (Terraform, Bicep, or Pulumi) across Dev, Test, and Production environments
  • Practical experience with observability (Azure Monitor, Datadog, Prometheus/Grafana, or OpenTelemetry)
  • Strong scripting and automation skills (Python, Bash, or PowerShell)
  • Excellent English language skills and native Czech are mandatory
Security & Compliance Mindset
  • Identity & access management
  • Encryption (at rest and in transit)
  • Understanding of SOC2 / ISO-level compliance standards
Technical Leadership & Consulting Capabilities
  • Ability to own technical workstreams end-to-end — from design through implementation and production support
  • Experience defining CI/CD patterns, IaC standards, and platform reference architectures for others to follow
  • Comfortable acting as incident commander or technical lead during critical production issues
  • Strong collaboration with Engineering, Security, Architecture, and Data Science stakeholders
  • Excellent communication in English; ability to explain technical trade-offs clearly to mixed audiences
  • Experience working in agile, international, and hybrid delivery environments
Nice to Have
  • Experience with LLMOps, GenAI production environments, or Agentic AI platforms
  • Vector databases (Milvus, Pinecone, Azure AI Search) and RAG architecture deployment
  • GPU workload scheduling and AI-specific observability (Langfuse, LangSmith, or similar)
  • Workflow/orchestration platforms (n8n, Airflow, Step Functions)
  • FinOps practice: cloud cost analysis, optimization, and reporting
  • Platform Engineering patterns, Internal Developer Platforms (IDP), and GitOps (Argo CD, Flux)
  • DevSecOps tooling: policy-as-code, SAST/DAST, SBOM, and secrets scanning in CI/CD pipelines
  • Cloud or DevOps certifications (Azure, AWS, CKA, Terraform Associate)

Your future role
🎯Your Impact

You will be a hands-on technical owner for production-ready AI and cloud platforms — designing, implementing, and hardening solutions that others can build on.

🚀 Platform Engineering & Orchestration
  • Enable secure enterprise-grade AI deployments
  • Design and implement scalable, sovereign AI platforms on Azure Kubernetes Service (AKS)
  • Build and maintain CI/CD pipelines, deployment automation, and reusable platform components
  • Ensure high availability, resilience, and performance for multi-agent and data-intensive workloads
  • Contribute to golden paths and reference architectures used across engagements
🔐 Security & Governance
  • Architect Zero-Trust environments for LLM-based solutions
  • Implement private networking (Private Link), granular RBAC (Entra ID), and automated policy enforcement
  • Ensure compliance with enterprise security and audit standards

🔄 LLM Lifecycle & Production Enablement
  • Bridge Data Science and Engineering
  • Implement agent observability (Langfuse / LangSmith)
  • Automate RAG architecture deployment
  • Build scalable pipelines from experimentation to production
🏗 Infrastructure as Code
  • Standardize environments using Terraform or Bicep
  • Ensure reproducible Dev, Test, and Prod environments across global deployments
📊 Observability & Transparency
  • Implement monitoring (Azure Monitor, Datadog)
  • Integrate SIEM solutions
  • Enable traceability and explainability of AI systems


What we offer
• Competitive salary and annual performance bonus

• At the beginning, you will be assigned a buddy who will help you during the first days and weeks.

• Your personal growth will be supported by your own coach.

• 25 days of vacation and 2 sick days per year without the need for a medical certificate.

• A comprehensive Cafeteria plan with 31,200 points per year. You can select benefits tailored to your preferences (meal vouchers/meal allowance, pension insurance, vouchers for sports or cultural activities, or even purchase 2 extra vacation days).

• Reimbursement for clothing care and cleaning expenses.

• Access to external and internal training programs to support your ongoing professional development.

• Hybrid work model for better work-life balance.

• We know how to work hard — and how to recharge. You can look forward to company events and team-building activities.

• Mobile phone (Apple/Samsung – the choice is yours) with a favorable tariff, even for personal use.

• Salary support during illness and paternity leave.

• Comprehensive travel insurance covering both personal and business trips.

• One-site fitness studio, company massage, tailor and dry-cleaning services - all conveniently available in our Prague office.

• Health comes first, and that's why the online counseling service is available to you. We organize Health Days, during which various workshops and specialized medical examinations take place.

• In challenging situations, our assistance service is here to help – qualified specialists will provide legal, financial, and psychological counseling.

Selection process
Apply with your CV in English
Please submit an up-to-date CV in English as part of your application.

HR Screening Call
An initial conversation with our Talent Acquisition team to discuss your experience, motivation, language skills, and overall fit for the role.

Technical Interview with the Hiring Manager
A deeper discussion focused on your technical expertise, project experience, leadership capabilities, and alignment with the role requirements.

Final Meeting with the AI & Data Director
A final get-to-know-you conversation focused on your career aspirations, leadership approach, and potential contribution to Deloitte's AI & Data practice

#LI-NF1

Deloitte

About Deloitte

Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Deloitte invests in outstanding people of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we.

Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities. DTTL (also referred to as “Deloitte Global”) and each of its member firms are legally separate and independent entities. DTTL does not provide services to clients. Please see www.deloitte.com/about to learn more.

The content on this page contains general information only, and none of Deloitte Touche Tohmatsu Limited, its member firms, or their related entities (collectively the “Deloitte Network”) is, by means of this publication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. No entity in the Deloitte Network shall be responsible for any loss whatsoever sustained by any person who relies on content from this page.

Industry
Consulting & Advisory
Company Size
10,000+ employees
Headquarters
Worldwide, OO
Year Founded
1845
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